Predictive adaptive coding and modulation

ABSTRACT

Methods, systems, and devices are described for providing predictive adaptive communications. Embodiments include a network access unit, in communication with multiple data terminals, and adapted to determine geospatial and other network data (e.g., current capability and position information relating to a designated one of the data terminals, map data, etc.), and to generate a link condition prediction as a function of the network data. The network access unit may then adaptively encode source data (e.g., using adaptive coding and modulation of hierarchically pre-coded data) to preempt impacts of changing link conditions on communications with the designated data terminal as a function of the link condition prediction.

CROSS REFERENCE

The present application is a continuation-in-part of co-pending, commonly assigned U.S. patent application Ser. No. 11/956,200, filed on Dec. 13, 2007, and entitled “ACM AWARE ENCODING SYSTEMS AND METHODS,” which claims the benefit of U.S. Provisional Application No. 60/869,809, filed on Dec. 13, 2006, entitled “ADAPTIVE CODING & MODULATION (ACM) AWARE ENCODER SYSTEM,” the entirety of each of which is herein incorporated by reference for all purposes.

The present application is also related to U.S. patent application Ser. No. 12/192,544, filed on Aug. 15, 2008, and entitled “LINK AWARE MOBILE DATA NETWORK”; U.S. patent application Ser. No. 12/250,392, filed on Oct. 13, 2008, and entitled “ADAPTIVE CODING AND MODULATION AWARE NETWORK LOAD BALANCING”; and U.S. patent application Ser. No. 12/250,394, filed on Oct. 13, 2008, and entitled “TERMINAL AWARE MULTICASTING,” the entirety of each of which is herein incorporated by reference for all purposes.

BACKGROUND

The present invention relates to data communications in general and, in particular, to adaptive coding and modulation.

Service providers may desire to use communication systems to provide high availability to high-quality services for their subscribers. Typically, conditions differ across regions of the network, for example, due to differences in weather, geography, density of structures, density of data terminals, etc. These different network conditions may result in differences in apparent availability or quality of services to subscribers.

Adaptive communication techniques, like adaptive coding and modulation (“ACM”), may dynamically adjust coding and modulation schemes to adapt to these changing network conditions. For example, as conditions change, the availability of services may be increased or maintained by using more reliable (lower order) coding and modulation schemes. In order to adapt, however, the network may first have to detect information relating to one or more conditions. As such, there may be a delay between a change in network conditions and an adjustment in communications.

In the case of fixed data terminals, link conditions (e.g., network conditions affecting a communication link associated with a data terminal) may typically change relatively slowly. For example, large changes in weather, density of obstacles to the communication, etc. may happen over hours, days, or even longer periods of time. With mobile data terminals, however, link conditions may change much more quickly. For example, as a cellular telephone moves through the network, it may quickly move through large regional differences in network conditions, like mountains, tunnels, different areas of a building, etc. In some cases, these changes in link condition may be too rapid for adaptive techniques to keep up.

Thus, it may be desirable to generate predictions of future link conditions and to dynamically pre-adjust transmission parameters with an awareness of those predicted conditions.

SUMMARY

Among other things, methods, systems, and devices are described for dynamically pre-adjusting transmission parameters with an awareness of predicted changes in link conditions.

In various embodiments, predictive adaptive communications are provided. Embodiments include a network access unit, in communication with multiple data terminals, and adapted to determine geospatial and other network data (e.g., current capability and position information relating to a designated one of the data terminals, map data, etc.), and to generate a link condition prediction as a function of the network data. The network access unit may then adaptively encode source data (e.g., using adaptive coding and modulation of hierarchically pre-coded data) to preempt impacts of changing link conditions on communications with the designated data terminal as a function of the link condition prediction.

In one set of embodiments, a predictive adaptive network access unit is provided. The network access unit includes a source data receiver module adapted to receive source data; a terminal data receiver module, adapted to determine a current capability metric of a designated data terminal and a current position metric of the designated data terminal; a controller module, communicatively coupled with the terminal data receiver module, and adapted to generate a link condition prediction as a function of the current capability metric of the designated data terminal and the current position metric of the designated data terminal; a pre-coder module adapted to pre-code the source data using at least one pre-coding scheme to generate at least one set of representation data, the at least one set of representation data comprising a hierarchical representation of the set of source data; and an adaptive coding and modulation module adapted to associate the at least one set of representation data with at least one of a coding and modulation scheme, wherein the at least one of the pre-coding schemes and/or the at least one coding and modulation scheme is determined as a function of the link condition prediction generated by the controller module.

In some embodiments, the network access unit of claim further includes a transceiver module, adapted to generate a transmission by applying the at least one pre-coding scheme to the source data to generate the at least one set of representation data, and applying the at least one coding and modulation scheme to the at least one set of representation data; and communicate the transmission to the designated data terminal over a communication link associated with the designated data terminal. In other embodiments, the network access unit further includes a map generation module, communicatively coupled with a network having multiple data terminals, and adapted to generate map data relating to at least one region of the network, wherein the designated data terminal is one of the data terminals.

In another set of embodiments, a method for providing predictive adaptive communication over a network is provided. The method includes receiving source data representing content to be communicated with a designated data terminal over a network; determining a current capability metric of the designated data terminal; determining a current position metric of the designated data terminal; generating a link condition prediction as a function of at least one of the current capability metric of the designated data terminal or the current position metric of the designated data terminal; determining at least one pre-coding scheme for pre-coding the source data to generate at least one set of representation data, the at least one set of representation data comprising a hierarchical representation of the set of source data; determining at least one coding and modulation scheme, wherein at least one of the at least one pre-coding scheme or the at least one coding and modulation scheme is determined as a function of the link condition prediction; and generating a transmission by associating the at least one set of representation data with the at least one coding and modulation scheme.

In some embodiments, the method further includes communicating the transmission to the designated data terminal over a communication link associated with the designated data terminal. In other embodiments, the method further includes generating map data relating to at least one region of a network having a plurality of data terminals, wherein the designated data terminal is one of the plurality of data terminals.

BRIEF DESCRIPTION OF THE DRAWINGS

A further understanding of the nature and advantages of the present invention may be realized by reference to the following drawings. In the appended figures, similar components or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label by a lower-case character or a dash and a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label.

FIG. 1A shows a simplified block diagram of a portion of a communication network, according to various embodiments of the invention.

FIG. 1B shows an embodiment of an illustrative network map, according to various embodiments of the invention.

FIG. 2 shows an illustrative flow diagram of embodiments of methods for providing predictive adaptive communications, according to various embodiments of the invention.

FIG. 3 provides a simplified block diagram of a satellite communication system for use with various embodiments of the invention.

FIG. 4 provides a simplified block diagram of a device configured according to various embodiments of the invention.

FIG. 5 provides a simplified block diagram of a data terminal according to various embodiments of the invention.

FIG. 6A provides a functional block diagram incorporating a pre-coder unit according to various embodiments of the invention.

FIG. 6B provides another functional block diagram incorporating a pre-coder unit according to various embodiments of the invention.

FIG. 6C provides yet another functional block diagram incorporating a pre-coder unit according to various embodiments of the invention.

FIG. 6D provides still another functional block diagram incorporating a pre-coder unit according to various embodiments of the invention.

FIG. 7 provides an illustration of an exemplary identifier table for use with various embodiments of the invention.

FIG. 8 provides a simplified block diagram of a controller unit according to various embodiments of the invention.

FIG. 9A provides a functional block diagram incorporating a processor unit according to various embodiments of the invention.

FIG. 9B provides another functional block diagram incorporating a processor unit according to various embodiments of the invention.

FIGS. 10A and 10B provide an exemplary embodiment illustrating adapting certain coding and modulation schemes to link conditions according to various embodiments of the invention.

FIG. 11 provides a flow diagram describing methods of transmitting hierarchical data in a layered communication system according to various embodiments of the invention.

FIG. 12 provides a flow diagram describing methods of receiving hierarchical data in a layered communication system according to various embodiments of the invention.

DETAILED DESCRIPTION OF THE INVENTION

This description provides exemplary embodiments only, and is not intended to limit the scope, applicability or configuration of the invention. Rather, the ensuing description of the embodiments will provide those skilled in the art with an enabling description for implementing embodiments of the invention. Various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention.

Among other things, the description provides methods, systems, and devices for dynamically adjusting transmission parameters with an awareness of terminal capabilities to improve both the availability and the quality of network services in differing link conditions.

Turning first to FIG. 1A, a simplified block diagram of a portion of a communication network is shown, according to various embodiments of the invention. The communication network 100 includes multiple network access units 110 communicating with multiple fixed data terminals 130 and mobile data terminals 120. Each network access unit 110 may be capable of reaching a certain network unit coverage area 140.

In some embodiments, the communication network 100 includes a satellite communication network in which the network access units 110 are gateways, adapted to transmit information to satellite receivers. For example, mobile data terminals 120 may include satellite telephones, global positioning satellite (“GPS”) units, satellite radios, etc.

In other embodiments, the communication network 100 includes a cellular communication network in which the network access units 110 are cells, adapted to transmit information to cellular receivers (e.g., cell phones). In yet other embodiments, the communication network 100 includes other types of networks, including local area networks, wide area networks, secure networks, the Internet, etc. The communication network 100 uses one or more other types of communication links, including short-range wireless links, long-range wireless links, cellular links, optical links, wired links, parallel links, etc.

Service providers may desire to use the communication network 100 to provide high availability to high-quality services for their subscribers. Typically, conditions differ across regions of the communication network 100. For example, conditions may be regionally affected by differences in weather, geography, density of obstacles, density of transmitters (e.g., cell towers), etc. These different network conditions may result in differences in apparent availability or quality of services to subscribers.

In one embodiment, as illustrated, regional differences in the network conditions are shown as shaded regions 150. Some regions may have slightly degraded conditions. A first shaded region 150-1 is shown slightly shaded to indicate a slightly degraded network condition in that region. This region may, for example, include a valley surrounded by mountains, etc. This shading is similarly shown approaching the outer boundaries of each access unit coverage area 140 and in part of the region covered by both network access units 110-1 and 110-2. A second shaded region 150-2 is shown with darker shading, indicating highly degraded network conditions. This region may, for example, include a roadway passing through a tunnel. Similar shading is shown in other regions, including at the far edges of each access unit coverage area 140.

In some embodiments, adaptive communication techniques, like adaptive coding and modulation (“ACM”), may dynamically adjust coding and modulation schemes to adapt to these changing conditions of the communication network 100. For example, as conditions change, the availability of services may be increased or maintained by using more reliable (lower order) coding and modulation schemes. In order to adapt, however, the communication network 100 may first have to detect information relating to one or more conditions. As such, there may typically be a delay between a change in network conditions and an adjustment in communications.

In the case of fixed data terminals 130, link conditions (e.g., network conditions affecting a communication link associated with a data terminal 120) may typically change relatively slowly. For example, large changes in weather, density of obstacles to the communication, etc. may happen over hours, days, or even longer periods of time. With mobile data terminals 120, however, link conditions may change much more quickly. For example, as a cellular telephone moves through the network, it may quickly move through large regional differences in network conditions, like mountains, tunnels, different areas of a building, etc. In some cases, these changes in link condition may be too rapid for adaptive techniques to keep up.

Embodiments of the communication network 100 therefore include one or more network access units 110 with predictive capabilities. In some embodiments, a map is generated to show geospatially registered network condition information. For example, as in the network map shown in FIG. 1A, the map may show shaded regions, or other indications of changes in network conditions over space. It will be appreciated that the map may or may not be graphical (e.g., a fully automated prediction algorithm may have no use for graphical representations).

It will be further appreciated that many types of information may be used to generate and/or display the geospatially registered network condition information. In one embodiment, the map includes GPS data. The GPS data may be collected directly from a global positioning satellite or indirectly from a device that processes GPS data. For example, the GPS locations of all the mobile data terminals 120 and fixed data terminals 130 in the communication network 100 may be tracked as part of the map.

In another embodiment, map survey data is used to generate the map and/or geospatially register the network condition information. For example, geological survey data (e.g., from satellite imagery), electronic road map data (e.g., from Google™ maps), construction and traffic data, weather map data, terrain data, etc. may be included. In still another embodiment, other data may be used to better enhance or understand a geospatial picture of network conditions. For example, architectural data may be used for determining the shapes of buildings, as well as sizes and locations of walls, elevator banks, parking garages, I-beams, and other potential sources of interference to communications.

In the embodiment illustrated in FIG. 1A, each mobile data terminal 120 is shown moving in a direction 125. In some embodiments, the direction 125 is used to help predict impending changes in network conditions. For example, the first mobile data terminal 120-1 is shown moving in a first direction 125-1 toward the first shaded region 150-1. For example, the communication network 100 may predict (e.g., based on various heuristics or other algorithms) a 93% chance that the first mobile data terminal 120-1 will ultimately enter the first shaded region 150-1, and that the transition into that region is estimated to occur in 1,352 seconds. This and/or other information may be used to take certain preemptive actions to counteract the impending likely degradation in services to the first mobile data terminal 120-1, to the extent possible.

FIG. 1B shows an embodiment of an illustrative network map, according to various embodiments of the invention. The network map 160 includes geospatial feedback from a number of data terminals 120 in communication with the network. At least a portion of the data terminals 120 are mobile data terminals. The network map may include other types of data, including other geospatial data. For example, as illustrated, the network map may show structural points of reference or sources of interference, like building outlines, streets, etc.

As shown, each data terminal 120 is indicated with a signal strength designator. The signal strength designator ranges from one to five, defining the strength of the data terminal's 120 connection with the network. For example, the signal strength designator may increase when there is lower packet error loss, higher effective bandwidth, proximity to more cells, access to alternate networks (e.g., a WiFi hot spot), etc. Some illustrated data terminals 120 may include, for instance, a cell phone 120-1 of an individual traveling through a park, a satellite phone 120-2 of an individual waiting for a bus near a street corner, a laptop 120-3 with a WiFi connection in an office building lobby, a personal digital assistant (“PDA”) 120-4 of an individual in an elevator having virtually no reception, or a satellite radio receiver 120-5 in a car traveling down a busy street.

As shown in FIG. 1B, a designated data terminal 170 is shown, representing a specific terminal of interest. In one embodiment, the network may query data relating to the designated data terminal 170, resulting in a designation of the designated data terminal 170 from among the data terminals 120 in communication with the network. The designation of the designated data terminal 170 may also determine a geospatial region of the network from which to find other information. For example, a snapshot may be acquired for a region of the network within some proximity to the designated data terminal 170, generating the network map 160 of the proximal area, showing all the data terminals 120 within that proximal area.

It will be appreciated that many other types of designations are possible. For example, the network may constantly poll all data terminals 120, maintaining a constantly updated network map 160 for the network. In another example, regions of the network map 160 (or specific data terminals 120) may be statistically polled, updated when a predetermined change is detected (e.g., when the data terminal 120 has moved a certain amount), etc. In those and other cases, the designated terminal 170 may be the one the data terminals 120 being evaluated during that portion of the update cycle of the network map 160.

As illustrated, the designated data terminal 170 is shown moving in a direction 175. For example, the designated data terminal may be a cell phone being used in a car traveling down a street. Based on certain heuristic information (e.g., data from surrounding data terminals 120, past data for similarly situated terminals 120, past data from the designated data terminal 170, geospatial data from the network map 160, etc.), the network may determine certain characteristics for predicting the future behavior of the designated data terminal 170. For example, the network may predict that the designated data terminal 170 is likely to continue in the same direction for another 223 feet, then turn either right or left when an intersection is reached. The network may further predict an impending decrease in signal strength for the designated data terminal 170 based on data indicating that, while the designated data terminal 170 currently indicates a signal strength designator of five, the designated data terminal 170 is approaching an area where all the other data terminals 120 have a signal strength designator of four.

It is worth noting that, depending on the type of prediction that may be made by the network, different types of preemptive remedial measures may be taken. For example, in the case illustrated by the designated data terminal 170, the change from five to four may not be significant enough to warrant any remedial action. In another illustrative case, however, say the laptop 120-3 with a WiFi connection in the office building lobby is moving into the elevator bank of the office building (i.e., the position occupied by the PDA 120-4). The network may predict a likely drop in the laptop's 120-3 signal strength from four to one (e.g., indicating a change from relatively strong reception capability to almost no reception capability). In one embodiment, the network may adjust the modcode of communications with the laptop 120-3 to provide very high reliability at the potential expense of data rate (e.g., by sending each data packet with high amounts of error correction information and/or high redundancy, the data may be more likely to be received by the laptop, but it may also take a higher number of packets to transmit the same amount of data due to the increased overhead). In another embodiment, the network may indicate to the designated data terminal 170 that the designated data terminal 170 should begin buffering the data transmission. This may be desirable, for example, where the reception capability has degraded past the point where a change in modcode is likely to help, where there is sufficient time to buffer a sufficient amount of data, etc.

It will be appreciated that many types of preemptive remedial measures are possible according to the invention. It will be further appreciated that the predictive capability may exploit many different types of information. For example, the predictive algorithms used by the network may exploit many types of geospatial data, data terminal 120 capability data, and/or other data. Further, complex algorithms may generate predictions based on many types of data operations, including combinations of data (e.g., Boolean operations, parsing, concatenation, filtering, sorting, etc.), statistical processing (e.g., Bayesian operations, regression, extrapolation, interpolation, etc.), etc. As such, the use of signal strength designators is merely one example of a type of data that may be used as part of a prediction algorithm and should not be taken as limiting the scope of the invention.

Even further, it will be appreciated that embodiments of the invention are not limited to the illustrative embodiments of networks, systems, data terminals, network maps, and other elements shown in FIGS. 1A and 1B. For example, the functionality and methods of embodiments of the invention may be implemented in many systems and components, and the systems and components may be used to implement many embodiments of the various functions and methods of the invention.

FIG. 2 shows an illustrative flow diagram of embodiments of methods for providing predictive adaptive communications, according to various embodiments of the invention. The illustrative method 200 is described with reference to a generic communication network, like the one shown in FIG. 1. The network includes one or more network access units in communication with multiple data terminals. Embodiments of the network intend to communicate a communication to at least a designated one of the data terminals.

The method 200 begins at block 204 by determining a current link condition of at least a designated data terminal. The current link condition may define or relate to any useful capability of the terminal that may affect the terminal's ability to handle (e.g., receive, use, etc.) content over the network. In one embodiment, the current link condition relates to a capability of the communication link between the network access unit and the designated data terminal. For example, the current link condition may relate to communication link characteristics, including bandwidth, throughput, bit error rates, etc. In another embodiment, the current link condition relates to a receiving capability of the designated data terminal. For example, the current link condition may relate to the designated data terminal's antenna, protocol compatibility, buffering capability, etc. In still another embodiment, the current link condition relates to a playback capability of the designated data terminal. For example, the current link condition may relate to the designated data terminal's screen resolution or fidelity, audio playback fidelity, etc.

The method 200 may further determine current positional information of at least the designated data terminal at block 208. In one embodiment, the current positional information defines a current geospatial position of the terminal (e.g., coordinates on a map, GPS data, altitude information, position relative to designated landmarks, etc.). In another embodiment, the current positional information defines the current vector information of the terminal (e.g., direction of movement, current velocity, etc.). In still another embodiment, the current positional information defines changes in vector information of the terminal (e.g., changes in direction, changes in velocity, etc.).

It is worth noting that the current link condition and the current positional information may be determined at blocks 204 and 208, respectively, in many different ways. In some embodiments, a network access unit or other network element is adapted to test certain link conditions and/or positional information either directly or indirectly. For example, a network tester module in the network access unit may be adapted to send test data through the network and track the communication to approximate bandwidth measurements, or cell signals may be triangulated to determine positional information. In other embodiments, the data terminals may be adapted to communicate certain link conditions (e.g., or information useful in generating the current link condition) to the network access unit. For example, the data terminal may transmit its current signal strength, or its current GPS position to the network. It will be appreciated that many other ways of generating current link condition and/or positional information are possible, according to embodiments of the invention.

In some embodiments, the same or other techniques may be used to generate the same or other link conditions or positional information from other data terminals. In some embodiments, all or a portion of the data terminals in the network are evaluated to generate macro-metrics of all or part of the network. For example, link conditions may be generated for multiple data terminals to generate a minimum, maximum, average, median, or other statistically useful result. The network access unit or other element of the network may keep track of a minimum link condition in a region, for example, to be able to particularly watch for terminals potentially approaching that minimum link condition area. In another example, movements of groups of terminals may be used to determine information, such as traffic patterns.

The link conditions and/or positional information of the designated data terminal and/or other data terminals may be used in a number of ways, including to generate a network map (e.g., like the network map 160 of FIG. 1B). Of course, other map data may also be received and/or generated at block 212. In one embodiment, the network receives street, terrain, building, and/or other map data from a data source (e.g., Google™ maps). In another embodiment, the network populates the map with data relating to locations and/or capabilities of network access units (e.g., cell towers). In still another embodiment, the map is populated with environmental data, like weather map information. It will be appreciated that any type of useful map data may be received and/or generated at block 212, according to embodiments of the invention.

Based on the current link condition information determined at block 204, the current positional information determined at block 208, the map data received at block 212, and/or any other information, a future link condition may be predicted at block 220. The future link condition may represent, or be indicated by, any useful indication. In one embodiment, the future link condition includes the predicted link condition for one or more data terminals at one or more future times. In another embodiment, the future link condition includes an amount of change predicted relative to the current link condition. The future link condition may then be used to preemptively adapt communication of content with one or more of the data terminals.

At block 216, the content is received as source data. For example, the source data may include an audiovisual data file, a phone call, a text message, an email, and/or any other type of data intended for communication with a data terminal. Embodiments of the method 200 generate communication data for communicating the source data to one or more data terminals in the network, at least including the designated terminal. Some of these embodiments use ACM aware encoding schemes, as described more fully below.

In some embodiments, one or more pre-coding schemes are determined at block 224. In certain embodiments, the pre-coding schemes are determined at least partially as a function of the future link condition predicted in block 220. The pre-coding schemes may further be determined as a function of characteristics of the source data (e.g., the type, priority, file size, etc.), other capabilities of the intended data terminal (e.g., a display capability of the designated data terminal), etc.

The pre-coding schemes determined in block 224 may then be applied to the source data to generate sets of representation data in block 228. As discussed more fully below, embodiments of the invention use hierarchical pre-coding schemes, resulting in hierarchical representation sets of the source data. For example, a first pre-coding scheme may generate a base layer of the source data (e.g., the most basic information needed to be able to recreate the source data at some resolution or fidelity), and a second pre-coding scheme may generate an enhancement layer of the source data (e.g., additional information useful for enhancing the recreation of the source data, like data for increasing resolution or color depth). It will be appreciated that any number of pre-coding schemes may be used, according to embodiments of the invention. For example, additional enhancement layers may be generated for additional hierarchical representations of the source data.

In some embodiments, coding and modulation schemes are determined at block 232. In certain embodiments, the coding and modulation schemes are determined at least partially as a function of the future link condition predicted in block 220. The coding and modulation schemes may further be determined as a function of characteristics of the source data (e.g., the type, priority, file size, etc.), other capabilities of the intended data terminal (e.g., a display capability of the designated data terminal), types of pre-coding schemes used in blocks 224 and/or 228, etc.

At block 236, the coding and modulation schemes determined in block 232 may be associated with the representation data sets generated in block 228. In some embodiments, a first coding and modulation scheme is applied to a first representation data set and a second coding and modulation scheme is applied to a second representation data set. In other embodiments, a signal coding and modulation is applied to multiple representation data sets. In still other embodiments, multiple coding and modulation schemes are applied to single representation data sets.

It will be appreciated that these and other techniques may be used to generate a hierarchical encoding of the source data. At block 240, the method 200 may generate a transmission for at least the designated data terminal. It is worth noting that, because the source data may have been encoded at least partially as a function of the capabilities of the designated data terminal, the transmission may be optimized for communication with the designated data terminal. The transmission may be communicated to at least the designated data terminal at block 244.

In one embodiment, a first, high-reliability, coding and modulation scheme is applied to a first representation data set, to generate a high-reliability transmission of a base layer of the source data. A second, lower-reliability, coding and modulation scheme may be applied to the second representation data set, to generate a lower-reliability transmission of an enhancement layer of the source data. The lower-reliability enhancement layer data may then be combined (e.g., multiplexed) with the first communication (e.g., high-reliability base layer) data to generate the communication in block 240. The multiplexed data may then be broadcast or multicast to all or part of the network, or unicast to the designated data terminal, at block 244.

It will be appreciated that many types of communication network are possible for providing predictive communications. Systems and methods for providing predictive communications, including providing ACM-aware hierarchical encoding for handling different predictive changes in link conditions, are shown in FIGS. 3-12. These systems and methods are provided for illustrative purposes only and should not be construed as limiting the scope of the invention.

FIG. 3 shows a simplified block diagram of a satellite communication system for use with various embodiments of the invention. While a satellite communication system is used to illustrate various aspects of the invention, it is worth noting that certain principles set forth herein are applicable to a variety of other wireless systems, as well. The satellite communications system 300 includes a network 320, such as the Internet, interfaced with a network access unit 315 (e.g., like Predictive Network Access Units 110 of FIG. 1) that is configured to communicate with one or more data terminals 330, via a satellite 305.

The network 320 may be any type of network and can include, for example, the Internet, an IP network, an intranet, a local- or wide-area network, a virtual private network, the Public Switched Telephone Network (“PSTN”), or any other type of network supporting data communication between devices described herein, in different embodiments. A network 320 may include both wired and wireless connections, including optical links. The network 320 may also transmit information about link conditions for one or more data terminals 330 to the network access unit 315. The network 320 may connect the network access unit 315 with other gateways (not pictured), which are also in communication with the satellite 305, and which may share information on link conditions and other network metrics.

The network access unit 315 provides an interface between the network 320 and the data terminal 330. The network access unit 315 may be configured to receive data and information directed to one or more data terminals 330, and can format the data and information for delivery to the respective destination data terminal 330 via the satellite 305. Similarly, the network access unit 315 may be configured to receive upstream signals from the satellite 305 (e.g., from one or more data terminals 330) directed to a destination in the network 320, and can format the received signals for transmission along the network 320.

For example, the network access unit 315 may use ACM to generate a layered transmission of the information. ACM may allow the satellite communication system 300 to dynamically adjust the coding and modulation schemes applied to transmissions to adapt to changing link conditions. Lower order coding and modulation schemes may use lower order modulation and lower information densities to provide more reliable transmission of information over the communication link. Thus, while lower order coding and modulation schemes may be more reliable, they may also be less bandwidth efficient (e.g., less information may be transmitted per unit bandwidth per unit time). This may mean that, in order to maintain the availability of communications over the satellite communication network 300 in changing link conditions, service providers may have to change the amount of information transmitted to their subscribers per unit time.

Table 1 (below) provides a purely exemplary set of data to further clarify the trade-off between availability and bandwidth efficiency. As such, the data in Table 1 should not be construed as limiting the scope of the invention. Referring to Table 1, the leftmost column shows the availability of an exemplary communication system ranging from 99% to 99.99%. The remaining columns, from left to right, show metrics relating to the link margin, signal-to-noise ratio, coding and modulation scheme, and bandwidth efficiency of the exemplary communication system, respectively. As illustrated by Table 1, lower order coding and modulation schemes are used to increase availability of the network (i.e., the coding and modulation scheme is changed from 16APSK ¾ to QPSK ¾ to increase availability from 99% to 99.99%). The illustrative result shows a decrease in bandwidth efficiency from 2.97 to 1.32, almost a 60% decrease in bandwidth efficiency.

TABLE 1 Availability vs. Bandwidth Efficiency Operating Selected Coding Link Margin Es/No and Modulation Bandwidth Availability (dB) (dB) Scheme Efficiency   99% 0.53 10.67 16APSK 3/4 2.97  99.9% 2.33 8.87 8PSK 3/4 2.23 99.99% 7.19 4.01 QPSK 3/4 1.32

In some embodiments, the network access unit 315 may further use hierarchical pre-coding schemes at least in part to mitigate the trade-off between availability and bandwidth efficiency. In certain embodiments, hierarchical pre-coding schemes may include simulcasting (simultaneously broadcasting) multiple versions of a set of source data (e.g., standard- and high-definition versions of a video stream). In other embodiments, hierarchical pre-coding schemes may include scalable pre-coding schemes, data partitioning schemes, and other pre-coding schemes, as described below. In certain embodiments, the hierarchically pre-coded data may be adaptively coded and/or modulated for transmission over the communication link in a layered fashion. In this way, it may be possible to affect either or both of availability and bandwidth efficiency per each hierarchical data layer, adding flexibility to the satellite communication system 300.

In certain embodiments, the network access unit 315 may use either or both of ACM and hierarchical pre-coding schemes. In one example, multiple hierarchical layers are created, but a single coding and modulation scheme is used for all the layers. In another example, a single layer may be sent using multiple coding and modulation schemes. In other embodiments, the network access unit 315 may pre-code, code, and/or modulate only a portion of the data. For example, the network access unit 315 may detect that only enough bandwidth is available to transmit a single layer over the communication link. In this case, it may be efficient for the network access unit 315 to generate only a single layer for some or all of the incoming source data.

A device connected to the network 320 may communicate with one or more data terminals 330 through the network access unit 315. Data and information, for example IP datagrams, may be sent from a device in the network 320 to the network access unit 315. A variety of physical layer transmission modulation and coding techniques may be used with certain embodiments of the invention, including those defined with the DVB-S2 and WiMAX standards. In a number of embodiments, the network access unit 315 utilizes ACM in conjunction with one or more hierarchical data pre-coding schemes described herein to direct traffic to the individual terminals. The network access unit 315 may use a broadcast signal, with a modulation and coding format adapted for each packet to the link conditions of the data terminal 330 or set of data terminals 330 to which the packet is directed (e.g., to account for the variable service link 350 conditions from the satellite 305 to each respective data terminal 330).

The network access unit 315 may use an antenna 310 to transmit the signal or signals to the satellite 305. In one embodiment, the antenna 310 comprises a parabolic reflector with high directivity in the direction of the satellite and low directivity in other directions. The antenna 310 may be implemented in a variety of alternative configurations. The downstream signals may include, for example, a number of single carrier signals. Each signal carrier signal may be divided (e.g., using Time Division Multiple Access, or “TDMA”) into a number of virtual channels. The virtual channels may be the same size, or different sizes. In other embodiments, other channelization schemes may be used, such as Frequency Division Multiple Access (“FDMA”), Orthogonal Frequency Division Multiple Access (“OFDMA”), Code Division Multiple Access (“CDMA”), or any number of hybrid or other schemes known in the art.

In one embodiment, a geostationary satellite 305 is configured to receive the signals from the location of antenna 310 and within the frequency band and specific polarization transmitted. The satellite 305 may process the signals received from the network access unit 315 and forward the signal from the network access unit 315 to one or more data terminals 330. In some embodiments, only a portion of the data terminals 330 may be able to receive some or all of the signals due to certain link conditions.

In another embodiment, the satellite 305 operates in a multi-beam mode, transmitting a number of narrow beams each directed at a different region of the earth, allowing for frequency re-use. This satellite 305 may be configured as a “bent pipe” satellite, wherein the satellite may frequency convert the received carrier signals before retransmitting these signals to their destination, but otherwise perform little or no other processing on the contents of the signals. A variety of physical layer transmission modulation and coding techniques may be used by the satellite 305 in accordance with certain embodiments of the invention, including those defined with the DVB-S2 and WiMAX standards. For other embodiments, a number of configurations are possible (e.g., using LEO satellites, or using mesh networks instead of star networks), as known in the art.

The service signals 350 transmitted from the satellite 305 may be received by one or more data terminals 330, via the respective subscriber antenna 325. The data terminals 330 may receive the signals from the satellite 305 under very diverse link conditions. In certain embodiments, the data terminals 330 may decode the received signals differently based on how they are received in different link conditions.

In one embodiment, the antenna 325 and data terminal 330 together comprise a very small aperture terminal (“VSAT”). In other embodiments, a variety of other types of antennas 325 may be used at the data terminal 330 to receive a signal. Each of the data terminals 330 may comprise a single user terminal or, alternatively, a hub or router (not pictured) that is coupled to multiple user terminals. Each data terminal 330 may be mobile or fixed. For example, some fixed terminals may be connected to consumer premises equipment (“CPE”), including computers, local area networks, Internet appliances, wireless networks, etc.

In one embodiment, a Multi-Frequency Time-Division Multiple Access (“MF-TDMA”) scheme is used for upstream links 340, 345, allowing efficient streaming of traffic while maintaining flexibility in allocating capacity among each of the data terminals 330. In this embodiment, a number of frequency channels are allocated which may be fixed, or which may be allocated in a more dynamic fashion. A TDMA scheme is also employed in each frequency channel. In this scheme, each frequency channel may be divided into several timeslots that can be assigned to a connection (i.e., a data terminal 330). In other embodiments, one or more of the upstream links 340, 345 may be configured with other schemes, such as FDMA, OFDMA, CDMA, or any number of hybrid or other schemes known in the art.

A data terminal 330 may transmit information related to signal quality to the network access unit 315 via the satellite 305. The signal quality may be a measured signal to noise ratio, an estimated signal to noise ratio, a bit error rate, a received power level, or any other communication link quality indicator. The data terminal 330 itself may measure or estimate the signal quality, or it may pass information measured or estimated by other devices. This signal quality information may be used by the network access unit 315 in some embodiments to adapt pre-coding schemes or coding and modulation schemes to match current or predicted (e.g., future) link conditions.

A data terminal 330 may also transmit data and information to a network 320 destination via the satellite 305 and network access unit 315. The data terminal 330 transmits the signals via the upstream uplink 345 to the satellite 305 using the antenna 325. A data terminal 330 may transmit the signals according to a variety of physical layer transmission modulation and coding techniques, including those defined with the DVB-S2 and WiMAX standards. In various embodiments, the physical layer techniques may be the same for each of the links 335, 340, 345, 350, or may be different.

The functions of the components of the satellite communication system 300 may be implemented in a number of different ways. For example, some or all of the functionality of the network access unit 315 or the data terminals 330 may be implemented in other components of the system, for example in the satellite 305. Further, many embodiments of network access units 315 and data terminals 330 are possible according to the invention.

FIG. 4 provides a simplified block diagram of an embodiment of a predictive network access unit 400 configured according to various embodiments of the invention. In some embodiments, the predictive network access unit 400 transmits packets downstream to data terminals (e.g., as in the satellite communication system 300 of FIG. 3). It is worth noting that the functionality of the predictive network access unit 400 may be implemented in any number of different ways.

In some embodiments, the predictive network access unit 400 includes a receiver unit 420, a pre-coder unit 430, a controller unit 440, and a transceiver unit 450. The predictive network access unit 400 may receive a set of source data 410, process the data using various components, and transmit the data over a communication link 460.

In some embodiments, the predictive network access unit 400 includes the receiver unit 420, which receives the set of source data 410. The set of source data 410 may include, for example, audio data, video data, voice data, or any other type of data. The receiver unit 420 may include any hardware, software, or other components necessary to receive the set of source data 410. For example, the receiver unit 420 may include amplifiers, buffers, ports, codecs, etc. In one embodiment, the set of source data 410 includes an audio-visual data stream, which is received by the receiver unit 420 from a data network through a data port.

The receiver unit 420 may pass all or a portion of the set of source data 410 to the pre-coder unit 430. The pre-coder unit 430 may pre-code the portion of the set of source data 410 to generate sets of representation data. The sets of representation data may contain any type of information, including information extracted or adapted from the set of source data 410, which is useful for generating a representation of the set of source data 410. For example, a set of representation data may contain enough information extracted from a source video stream to allow the generation of a lower-resolution version of the video stream. In another example, the set of representation data may include color or texture information, which may be added to other sets of representation data to generate an enhanced version of the source video stream.

In certain embodiments, the pre-coder unit 430 applies certain pre-coding schemes, including scalable pre-coding schemes, data partitioning schemes, etc. In one embodiment, where the set of source data 410 includes an audio-visual data stream, the pre-coder unit 430 may pre-code the audio-visual data stream into various hierarchical sets of representation data by using the scalable capabilities of the MPEG-4 standard. In another embodiment, where the set of source data 410 includes an audio-visual data stream, the pre-coder unit 430 may pre-code the audio-visual data stream into various hierarchical sets of representation data by using the data partitioning capabilities of the H.264 adaptive video coding standard. Embodiments of pre-coding schemes are described more fully below.

In some embodiments, multiple pre-coding schemes may, in reality, be implemented as multiple functions of a single pre-coding scheme. In one embodiment, multiple scalable pre-coding schemes are implemented by using a single MPEG-4 pre-coding algorithm to generate multiple layers of output (i.e., the generation of a base layer and enhancement layers using MPEG-4 may be inextricably linked). In another embodiment, multiple data partitioning pre-coding schemes are implemented by using one data partitioning algorithm to slice the set of source data 410 into multiple data partitions. As such, it will be appreciated that phrases like “multiple pre-coding schemes” and “a first pre-coding scheme” should be broadly construed to encompass at least single pre-coding schemes capable of producing multiple different outputs.

The sets of representation data may be passed from the pre-coder unit 430 to the controller unit 440, which may associate each set of representation data with a coding and modulation scheme. For example, a first set of representation data may correspond to first-level (e.g., low resolution) playback of the set of source data 410, and a second set of representation data may correspond to second-level (e.g., higher resolution, enhanced) playback of the same set of source data 410. The controller unit 440 may associate the first set of representation data with a lower order coding and modulation scheme (e.g., quadrature phase-shift keying with 1-to-4 forward error correction (QPSK ¼)) to better ensure the transmission of data for at least first-level playback. The controller unit 440 may associate the second set of representation data with a higher order coding and modulation scheme (e.g., 8PSK ⅞), reducing the transmission reliability of less critical enhancements for savings in power and bandwidth. Embodiments of coding and modulation schemes are described more fully below.

In some embodiments, the controller unit 440 may be configured to control all or some of the operations of the pre-coder unit 430. For example, the controller unit 440 may determine certain parameters which the pre-coder unit 430 may use to pre-code the set of source data 410. In one embodiment, the controller unit 440 determines a set of scaling parameters for the pre-coder unit 430 to use with a scalable pre-coding scheme to generate sets of representation data. It will be appreciated that the controller unit 440 may determine how to control the pre-coder unit 430 based on different types of information. For example, the controller unit 440 may receive information relating to current or predicted link conditions, as described more fully below.

In certain embodiments, the controller unit 440 may receive prediction generation information (e.g., terminal-related capability metrics, positional information, geospatial information, etc.), as described above. The prediction generation information may then be used to predict future link conditions. The prediction may then be used to determine one or more pre-coding schemes, coding and modulation schemes, etc. As such, the controller unit 440 may include any functionality desired for receiving and/or generating prediction generation information, and/or for predicting future link conditions, for example as described with reference to FIGS. 1A, 1B, and 2.

The controller unit 440 may pass the coded and/or modulated data to a transceiver unit 450. The transceiver unit 450 may process the data into one or more signals for transmission (e.g., by buffering or amplifying the data), and may pass the signal to a communication link 460. The transceiver unit 450 may include any hardware, software, or other components necessary to transmit the signals or to interface with the communication link 460.

In some embodiments, signals are transmitted by the predictive network access unit 400 over the communication link 460 to one or more data terminals. FIG. 5 provides a simplified block diagram of an embodiment of a data terminal 500 according to various embodiments of the invention. Embodiments of the data terminal 500 may include functionality of the data terminals 330 of FIG. 3. The data terminal 500 may receive signals from the communications link 460 and decode the signals, for example for playback.

In some embodiments, signals are received by the data terminal 500 at a receiver unit 510. The receiver unit 510 may include any hardware, software, or other components necessary to receive the signals. The received signals may include the sets of representation data generated by a network access unit (e.g., a gateway, aggregator, cell, DSLAM, etc.) and transmitted by the transceiver unit 450 in FIG. 4. Depending on various link conditions, some sets of representation data may not be reliably received.

In poor link conditions (e.g., heavy rain), higher order coding and modulation schemes may fail to provide reliable signal transmission over the communication link 460. For example, signals may be corrupted in transmission, arriving at the data terminal 500 with low power, high bit error rates, low signal-to-noise ratios, etc. As such, in certain link conditions, sets of representation data transmitted using lower order coding and modulation schemes may be reliably transmitted to the data terminal 500, while other sets of representation data may fail to be reliably transmitted.

Received signals may be passed to a decoder unit 520 for decoding. It will be appreciated that certain amounts and types of data may need to be extracted from the signals to permit decoding. Thus, signals which fail to be reliably received by the receiver unit 510 may also fail to be decoded reliably by the decoder unit 520. Of course, the decoder unit 520 may include any hardware, software, or other components helpful for decoding data in various conditions. For example, the decoder unit 520 may have access to various error correction, de-multiplexing, formatting, and other routines.

In some embodiments, the data terminal 500 may be capable of decoding received signals in multiple modes 524. The modes 524 may relate, for example, to decoding for different levels of playback. In certain embodiments, modes 524 may be determined based in part on which sets of representation data are received, and whether enough data from those sets is reliably received, so the data may be decoded by the decoder unit 520. When sufficient data is received from a particular set of representation data, the mode 524 may switch to utilize that data. The data terminal 500 may use one or more of the modes 524 as a default, and be able to switch to other modes 524 either manually or automatically.

In some embodiments, the decoder unit 520 includes a threshold detector 522, which detects whether enough data is being reliably received to allow the decoder unit 520 to provide higher level playback. Because different sets of representation data may be transmitted using different coding and modulation schemes, some sets of representation data (e.g., those transmitted with higher order coding and modulation schemes) may fail to be reliably received by the data terminal 500 under certain link conditions. Depending on whether the threshold is being met, the decoder unit 520 may be configured to provide different levels of playback by decoding signals in different modes 524.

In one embodiment, a first set of representation data (representing low level playback of a set of source data) is transmitted with a very low order coding and modulation scheme. In this way, the first set of representation data may almost always be reliably received by the data terminal 500. The reliable receipt of the first set of representation data also means that the decoder unit 520 may almost always be able to decode sufficient information to generate a set of low level playback data. As such, the decoder unit 520 may be configured to operate by default in a first mode 524-1. In this first mode 524-1, the decoder unit 520 may decode only those signals which provide the first set of representation data, providing a subscriber with the ability for low level playback 526-1 at almost all times.

In this embodiment, at times, signals are received by the data terminal 500 which contain a second set of representation data. This second set of representation data (representing high level playback of a set of source data) may be transmitted with a higher order coding and modulation scheme, making its receipt less reliable in some link conditions. The threshold detector 522 may monitor the received signals to determine whether some threshold amount of the second set of representation data is being reliably received. When the threshold amount of the second set of representation data is not being reliably received, the data terminal 500 may remain in mode 1 524-1. When the threshold detector 522 detects that the threshold amount of the second set of representation data is being reliably received, the data terminal 500 may enter mode 2 524-2. In mode 2 524-2, the decoder unit 520 may generate a set of second-level playback data 526-2.

It will be appreciated that other numbers and types of modes 524 are possible, and the modes 524 may be implemented in different ways. In some embodiments, different levels of playback data include base and enhancement layers of a single data type (e.g., layers of an image). In other embodiments, different levels of playback data include different types of data to be combined for playback (e.g., text versus images versus videos on a webpage). It will be further appreciated that modes 524 may be selected manually, or as a result of other conditions, and may be implemented in hardware or software.

The decoder unit 520 may generate a set of playback data 526 to allow different levels of playback of the source data. The generated set of playback data 526 may be output to playback or other equipment or components (e.g., a display, sound card, etc.), for example, through a port 550. It will be appreciated that the set of playback data 526 may be further processed or other hardware, software, etc. may be provided to interface with different types of ports 550, devices, systems, and/or components.

In other embodiments, the data terminal 500 may include a data store 530, which may be communicatively coupled with the decoder unit 520. The data terminal 500 may be configured to save data decoded by the decoder unit 520 in the data store 530 either all the time or on certain conditions. In one embodiment, a subscriber manually selects times when data should be stored in the data store 530 for later playback.

In certain embodiments, data is automatically stored in the data store 530 based on the signal quality of the received signals. At certain times (e.g., in certain weather, because of bandwidth constraints, or due to other link conditions), only a portion of the sets of representation data relating to a particular set of source data may be reliably received by the data terminal 500. At these times, it may be desirable to accumulate related data in the data store 530 as it is received. It will be appreciated that many ways to accumulate related data in the data store 530 are known in the art. For example, a relational database may be used, which stores each decoded dataset in relation to the set of source data to which it relates. In these embodiments, it may be possible to store the first set of representation data while link conditions are poor, and wait to receive additional sets of representation data when link conditions improve. It is worth noting that, in some embodiments, the network may cause the data terminal 500 to buffer information in the data store 530 as a preemptive measure for a predicted degradation in link conditions.

In some embodiments, the data terminal 500 may generate notifications relating to which sets of representation have been received, decoded, and/or stored. In one embodiment, a subscriber may set the data terminal 500 to automatically generate a notification when at least two sets of representation data have been stored in the data store 530 relating to a particular set of source data. In another embodiment, the data terminal 500 may periodically send notifications to a service provider requesting transmission (or re-transmission) of certain sets of representation data. For example, if a set of representation data fails to be reliably received, the data terminal 500 may notify the sender to retransmit the set of representation data, possibly using a lower mode coding and modulation scheme.

It is worth noting that certain other types of notifications may be possible by exploiting predictive capabilities of the network. In one embodiment, a cell phone user is notified that a call is predicted to be dropped in a certain time or distance (e.g., given continued movement in the same direction and speed, or in some predictable way). In another embodiment, a map or other indicator is displayed on the cell phone to indicate options for improving data integrity (e.g., by moving to an indicated location having better reception).

It will now be appreciated that many embodiments and configurations of predictive network access units and data terminals are possible, according to embodiments of the invention. These various embodiments may be further understood with regard to various block diagrams, like those shown in FIGS. 6-10. It will be appreciated that while components and functions are described with relation to specific devices or functional blocks, the various functions may be implemented in many ways according to the invention. As such, the block diagrams are purely illustrative and should not be construed as limiting the scope of the invention.

Turning to FIG. 6A, a functional block diagram incorporating a pre-coder unit 430 according to various embodiments of the invention is provided. In some embodiments, a set of source data 410 passes to the pre-coder unit 430. The pre-coder unit 430 may pre-code the set of source data 410 using any number and/or type of pre-coding scheme 624.

Preferably, each pre-coding scheme 624 is different from each other pre-coding scheme 624 in some way, generating hierarchal (or layered or partitioned) output. Purely by way of example, some or all of the different pre-coding schemes 624 may use different codecs, parameters, transformations, transcoding, algorithms, and other techniques to affect resolution, quantization, bit rate, temporality, quality, spatiality, complexity, or any other useful characteristic of the data.

In some embodiments, the pre-coder unit 430 is communicatively coupled with a processor unit 610. In some embodiments, the processor unit 610 may be part of the controller unit 440 of FIG. 4. In other embodiments, the processor unit 610 may be incorporated into the pre-coder unit 430. In still other embodiments, the processor unit 610 may be implemented as a separate component or in any other useful way. In certain embodiments, the processor unit 610 may control all or part of the functionality of the pre-coder unit 430. For example, where the pre-coder unit 430 pre-codes the set of source data 410 based on certain parameters, the processor unit 610 may perform functions, including generating or selecting the parameters, instructing the pre-coder unit 430 to use the parameters, etc.

In one embodiment, three pre-coding schemes (624-1, 624-2, and 624-3) are used to generate three sets of representation data (622-1, 622-2, and 622-3), respectively. The three sets of representation data (622-1, 622-2, and 622-3) may correspond to three hierarchical layers of representation of the set of source data 410. Each of these sets of representation data 622 may be stored in a representation data store 620.

Further embodiments of the functionality in FIG. 6A are illustrated in the exemplary functional block diagrams of FIGS. 6B-6D. FIG. 6B provides a functional block diagram of a set of embodiments incorporating a pre-coder unit 430 using scalable pre-coding schemes 624 according to various embodiments of the invention.

In this set of embodiments, a set of source data 410 passes to the pre-coder unit 430. The pre-coder unit 430 pre-codes the set of source data 410 using a scalable pre-coding scheme 624. Scalable pre-coding schemes 624 may divide the set of source data 410 into different hierarchical layers. In some embodiments, a first (lowest-level) layer is called the base layer and higher layers are called enhancement layers. A scalable pre-coding scheme 624 may intend to achieve graceful degradation of the picture quality. For example, by providing the capability to playback data at a number of different levels, the pre-coding scheme 624 may avoid suffering from the “all or nothing” effect observed in some non-scalable coding systems.

In some embodiments, the scalable pre-coding scheme 624 may exploit different compression techniques to produce bit streams that are decodable at different bit rates. In one embodiment, a base layer contains the most critical information for playback that is determined to be “good enough” for a consumer. In this embodiment, enhancement layers may contain less critical information, like higher color depths, texturing, or resolution. Using this pre-coding scheme 624, it may be possible to provide a consumer with more reliable access to the base layer, such that a “good enough” level of playback is almost always available.

It will be appreciated that various types of scalability may be used. Purely by way of example, scalabilities may include quality, temporal, spatial and complexity scalability, in order to accommodate heterogeneous networks, different devices, various link conditions, or other communication environments. Among these scalabilities, various spatial and temporal scalable pre-coding schemes 624 may be known in the art, such as MPEG-2, MPEG-4 and H.263++. In addition, certain fine-granularity scalable (“FGS”) pre-coding schemes 624 may be known in the art. For example, MPEG-4 standard (Part-2) may incorporate a FGS technique with the pre-coder unit 430 using the motion-compensated discrete cosine transform (“DCT”) to generate a base layer as the lowest-level layer. Residual information between the original image and the reconstructed base layer image may be used to form one or more enhancement layers. An enhancement layer may be generated with a bit plane coding technique, which may provide fine granularity quality and temporal scalabilities.

Further, in certain embodiments, scalable pre-coding schemes 624 may provide error correction capabilities. For example, the MPEG-4 standard (Part-2) may be used to predict base layers and enhancement layers of future frames by using data from present frames. Using predicted data in the context of received data may allow correction of any bit stream truncation or lost packets, and may allow future frames to be more reliably recreated.

Regardless of the type or types of scalable pre-coding schemes 624 used, it may be preferable for each pre-coding scheme 624 to provide different scaling results for generating hierarchal output. Further, in some embodiments, the pre-coder unit 430 may be communicatively coupled with a processor unit 610, such that the processor unit 610 may control all or part of the functionality of the pre-coder unit 430. For example, the processor unit 610 may be configured to generate or select scaling parameters.

In one embodiment, one pre-coding scheme 624 is used with three scaling parameters (626-1, 626-2, and 626-3) to generate three sets of representation data (622-1, 622-2, and 622-3), respectively. The three sets of representation data (622-1, 622-2, and 622-3) may correspond to three hierarchical layers of representation of the set of source data 410. For example, the first set of representation data 622-1 may include base layer information, while the other two sets of representation data (622-2 and 622-3) may include enhancement layer information. Each of these sets of representation data 622 may be stored in a representation data store 620.

FIG. 6C provides a functional block diagram illustrating a set of embodiments of a pre-coder unit 430 using data partitioning pre-coding schemes 624 according to various embodiments of the invention. In this set of embodiments, a set of source data 410 passes to the pre-coder unit 430. The pre-coder unit 430 pre-codes the set of source data 410 using data partitioning pre-coding schemes 624. Data partitioning pre-coding schemes 624 may divide the set of source data 410 into different partitions.

Various data partitioning pre-coding schemes 624 may be known in the art. For example, data partitioning capabilities may be included in the H.264/AVC (adaptive video coding) standard. According to this standard, the pre-coder unit 430 may divide the set of source data 410 into three separate data partitions 628.

In one embodiment, three data partitions 628 may be defined to provide different levels of information representing the set of source data 410. A first partition 628-1 may contain syntax elements from header information within the set of source data 410, including macroblock types, quantization parameters, and motion vectors. A second partition 628-2 may contain intra-coded block patterns and transform coefficients. The second partition 628-2 may, for example, use various spatial prediction modes to exploit spatial statistical dependencies in the set of source data 410 for a single video frame. A third partition 628-3 may contain inter-coded block patterns and transform coefficients. The third partition 628-3 may, for example, use motion vectors for block based inter prediction to exploit block-shaped regions of each video frame in the set of source data 410.

The information contained in the first partition 628-1 (e.g., the header information of the set of source data 410) may represent a small portion of the set of source data 410, but it may be very critical to the recreation of the set of source data 410. For example, a “good enough” (or even a relatively high-quality) representation of the set of source data 410 may be recreated from only the information contained in the first partition 628-1, like macroblock types and motion vectors. On the contrary, information contained in the second partition 628-2 and the third partition 628-3 may be less critical while representing larger portions of the set of source data 410. Further information contained in the second partition 628-2 and the third partition 628-3 may be useful only in conjunction with information from the first partition 628-1.

It will be appreciated that other numbers and types of partitions are possible. Further, other steps may be required or desired as part of data partitioning pre-coding schemes 624. Regardless of the type or types of data partitions 628 used, it may be preferable for each pre-coding scheme 624 to use those data partitions 628 to provide hierarchal output. Further, in some embodiments, the pre-coder unit 430 may be communicatively coupled with a processor unit 610, such that the processor unit 610 may control all or part of the functionality of the pre-coder unit 430. For example, the processor unit 610 may be configured to generate or select data partitions 628.

In one embodiment, one data partitioning pre-coding schemes 624 is used with three data partitions 628 (628-1, 628-2, and 628-3) to generate three sets of representation data (622-1, 622-2, and 622-3), respectively. The three sets of representation data (622-1, 622-2, and 622-3) may correspond to three hierarchical partitions of the set of source data 410. For example, the first set of representation data 622-1 may include critical header information, while the other two sets of representation data (622-2 and 622-3) may include less critical intra- and inter-coded block patterns and transform coefficients. For example, using the H.264/AVC standard, the data partitions 628 may be encapsulated into separate network abstraction layer (NAL) packets, which may be collated into the sets of representation data 622. Each of these sets of representation data 622 may be stored in a representation data store 620.

FIG. 6D provides functional block diagram of a set of embodiments incorporating a pre-coder unit 430 using hybrid scalable and data partitioning pre-coding schemes 624 according to various embodiments of the invention. In this set of embodiments, the pre-coder unit 430 pre-codes the set of source data 410 using a combination of scalable and data partitioning pre-coding schemes 624.

In various embodiments, the scalable pre-coding schemes 624-2 and the data partitioning pre-coding schemes 624-1 may be used in different orders to provide the same or different results. In one embodiment, the scalable pre-coding schemes 624-2 may create base and enhancement layers of the set of source data 410, and the data partitioning pre-coding schemes 624-1 may divide some or all of those layers into different partitions. In another embodiment, the data partitioning pre-coding schemes 624-1 may divide the set of source data 410 into a number of partitions, which may then be layered using the scalable pre-coding schemes 624-2.

It will be appreciated that various scalable and data partitioning pre-coding schemes 624 may be known in the art. Further, it will be appreciated that different types of pre-coding schemes 624 may manifest various drawbacks. For example, many data partitioning pre-coding schemes 624-1 (e.g., H.264/AVC) may lack flexibility in the creation of data partitions 628. Additionally, many scalable pre-coding schemes 624-2 (e.g., FGS) may degrade compression efficiencies. Some combinations of pre-coding schemes 624 may be able to minimize some of these drawbacks.

In the embodiment shown in FIG. 6D, a set of source data 410 passes to the pre-coder unit 430. The pre-coder unit 430 may use data partitioning pre-coding schemes 624-1 to divide the set of source data 410 into three data partitions (628-1, 628-2, and 628-3). The pre-coder unit 430 may then apply scalable pre-coding schemes 624-1 to each of the three data partitions (628-1, 628-2, and 628-3).

In one embodiment, H.264/AVC data partitioning pre-coding schemes 624-1 are used to generate the three data partitions (628-1, 628-2, and 628-3). For example, as described above with respect to FIG. 6C, the first partition 628-1 may contain critical header and other information, while the second partition 628-2 and the third partition 628-3 may contain less critical DCT information. Each of the three data partitions (628-1, 628-2, and 628-3) may then be passed to MPEG-4 scalable pre-coding schemes 624-2, configured with a first scaling parameter 626-1 and a second scaling parameter 626-2.

In this embodiment, the first partition 628-1 may be further pre-coded, using the first scaling parameter 626-1, thereby generating a first set of representation data 622-1. The second partition 628-2 may be further pre-coded into two layers, using both scaling parameters (626-1 and 626-2), thereby generating second and third sets of representation data (622-2 and 622-3). The third partition 628-3 may also be further pre-coded into two layers, using both scaling parameters (626-1 and 626-2), thereby generating fourth and fifth sets of representation data (622-4 and 622-5). It will be appreciated that further pre-coding the second and third data partitions (628-2 and 628-3) may create layers based on any useful characteristic of the partitioned data. For example, the base layers of the data partitions (e.g., what generated the second and fourth sets of representation data (622-2 and 622-4)), may contain coarsely quantized DCT coefficients, while the enhancement layers of the data partitions (e.g., what generated the third and fifth sets of representation data (622-3 and 622-5)), may contain refinement information from which a finer quantization can be obtained.

In some embodiments, the pre-coder unit 430 may be communicatively coupled with a processor unit 610, such that the processor unit 610 may control all or part of the functionality of the pre-coder unit 430. In certain embodiments, the processor unit 610 may be configured to generate or select data partitions 628. In other embodiments, the processor unit 610 may be configured to generate or select scaling parameters 626. In still other embodiments, the processor unit 610 may be configured to generate or select both data partitions 628 and scaling parameters 626. It will be appreciated that the processor unit 610 may be utilized in many ways to add capabilities and flexibility to the functionality of the pre-coder unit 430. For example, the data partitioning and layering may be adjusted flexibly according to system throughput requirements and link conditions. To achieve greater flexibility, the pre-coding schemes 624 may be configured to dynamically change numbers and types of data partitions 628, numbers and types of scaling parameters 626, etc.

In addition to the many functions and capabilities of the pre-coder unit 430, various embodiments may provide many different coding and modulation capabilities. FIG. 7 provides an illustration of an exemplary table of identifier data 722 for use with various embodiments of the invention. The entries in the table of identifier data 722 show some possible coding and modulation schemes 705 and their associated identifiers 710. It will be appreciated that many types of coding and modulation are possible according to the invention. As such, the coding and modulation schemes 705 listed in the table of identifier data 722 are for illustrative purposes only and should not be construed as limiting the scope of the invention.

Each identifier 710 is associated with a coding and modulation scheme 705. For example, identifier “1” 710-1 is associated with a first coding and modulation scheme 705-1, representing quadrature phase shift keying with a one-to-four forward error correction (“FEC”) rate (QPSK ¼). In some embodiments, each identifier 710 may be a pointer to a set of information (e.g., an algorithm or a set of parameters) needed to implement its associated coding and modulation scheme 705.

According to the table of identifier data 722, a shift from identifier “1” 710-1 to identifier “4” 710-2 maintains the same modulation order (QPSK) while increasing the information density of the FEC (from ¼ to ½). The coding and modulation scheme 705-2 associated with identifier “4” 710-2 generates half as many error correction bits for each information bit as does the coding and modulation scheme 705-1 associated with identifier “1” 710-1.

It will be appreciated that different implementations may use different types of coding and modulation schemes 705. It will further be appreciated that different tables of identifier data 722 may be configured to have different margins between the coding and modulation schemes 705 or to associate the identifiers 710 differently. For example, a table of identifier data 722 may include only every third entry shown on the table of identifier data 722 in FIG. 7. It will further be appreciated that the table of identifier data 722 may include other types of data for various reasons, like signal quality indicators (e.g., measured signal to noise ratio, estimated signal to noise ratio, bit error rate, received power level, etc.).

When link conditions are poor (e.g., low signal-to-noise ratio), lower order modulation schemes and low information densities may be required for reliable delivery of data. This may result in fewer data bits being sent per unit time as well as inefficient uses of power and bandwidth. When link conditions are good, higher order modulation schemes may be used with higher information density. This may allow more data bits to be sent per unit time with more efficient usage of power and bandwidth.

In many communication systems, the situation may be complicated by the fact that data is being sent to multiple subscribers with different characteristics (e.g., in different geographic locations, having different receiving capabilities, having different entitlement levels, etc.). When data packets are addressed to a single terminal (unicast), the packets may be sent using the most efficient coding and modulation scheme 705 that the communication link will support. However, when data packets are addressed to many receivers (multicast or broadcast), the packets may have to be sent using the coding and modulation scheme 705 that the receiver with the worst link in the group can support. When link conditions affect only a portion of the subscribers (e.g., a localized rain fade), this may result in inefficient network usage. Thus, link conditions may change dynamically per unit time, per subscriber, or based on other parameters.

By using certain ACM techniques, coding and modulation schemes 705 may be dynamically selected to match changing link conditions. In one embodiment, coding and modulation schemes 705 are selected by using the identifiers 710 and the table of identifier data 722. The coding and modulation schemes 705 are then encapsulated, coded, mapped, and transmitted in any of a variety of ways, as known in the art. ACM is then implemented using the DVB-S2 standard, which specifically provides for its use. It will be appreciated that other implementations are possible, for example, including systems using DOCSIS or WiMax.

In some embodiments, the table of identifier data 722 and any other related information may be stored in an identifier store 720. The identifier store 720 may store the table of identifier data 722 in any useful way. For example, the table of identifier data 722 may be hard-wired into a microchip, or stored as a flat file or a relational database.

FIG. 8 provides a functional block diagram of a device 800 incorporating a processor unit 810, a representation data store 620, and an identifier data store 720 according to various embodiments of the invention. In some embodiments, the device may be or may include the controller unit 440 of FIG. 4.

In some embodiments, the processor unit 810 is communicatively coupled with the representation data store 620 and the identifier data store 720. The representation data store 620 may be configured to store sets of representation data 622 and the identifier data store 720 may be configured to store a table of identifier data 722. In certain embodiments, the processor unit 810 may be configured to process data from both the representation data store 620 and the identifier data store 720 to generate a set of output data 820. In other embodiments, the processor unit 810 may be configured to control at least a portion of the generation or processing of the data stored in either or both of the representation data store 620 and the identifier data store 720.

The capabilities and functionality of the processor unit 810 are discussed further in FIGS. 9A and 9B. FIG. 9A provides a functional block diagram incorporating a processor unit 810 according to various embodiments of the invention. In some embodiments, the processor unit 810 is the same as or is part of the controller unit 440 of FIG. 4. The processor unit 810 may receive sets of representation data 622 from the pre-coder unit 430 and identifier data from the identifier data store 720.

In some embodiments, the processor unit 810 may receive sets of representation data 622 from the pre-coder unit 430. The sets of representation data 622 may pass through a multiplexer unit 910. The multiplexer unit 910 may multiplex the data in any useful way, for example, by time division multiplexing (“TDM”), frequency division multiplexing (“FDM”), wavelength division multiplexing (“WDM”), code division multiplexing (“CDM”), polarization, or any other effective technique.

The multiplexer unit 910 may be communicatively coupled with an ACM unit 920. The ACM unit 920 may be further communicatively coupled with an identifier data store 720 and configured to receive identifier data stored at the identifier data store 720. Using the identifier data, the ACM unit 920 may implement ACM on the multiplexed data coming from the multiplexer unit 910 to generate a set of output data 820.

In one embodiment, the ACM unit 920 is implemented as a single module, which is configured to accept only a single stream of data. In this embodiment, the purpose of the multiplexer unit 910 may be to produce serial data for use by the single-stream ACM unit 920. Packets of information belonging to sets of representation data 622 coming from the pre-coder unit 430 may be tagged with information that represents to which of the sets of representation data 622 each packet belongs. For example, packets of data may be appended with header information that includes a designator number representing a particular set of representation data 622. Using the tags, the multiplexer unit 910 may multiplex the data from the multiple sets of representation data 622 to produce a single stream of data for the ACM unit 920.

In another embodiment, the set of source data (not shown) received by the pre-coder unit 430 includes data for multiple source programs (e.g., multiple video streams). At times (e.g., when link conditions are substantially static), the pre-coder unit 430 may be configured to pre-code each of the multiple source programs into the same sets of representation data 622, using the same pre-coding schemes. For example, a set of source data for a first program and a set of source data for a second program may each be pre-coded into a base layer and an enhancement layer. The multiplexer unit 910 may multiplex the two base layers (i.e., one from each program) into one data stream and multiplex the two enhancement layers into a second data stream. The two data streams each may then pass to the ACM unit 920.

In some embodiments, the ACM unit 920 generates a set of output data 820. The set of output data 820 may include one or more signals configured to be transmitted over a communication link 460. The signal or signals may be coded and/or modulated as dictated by the ACM unit 920. Further, the signal or signals may be coded and/or modulated in any additional way or combination of ways for transmission over the communication link 460. It will be appreciated that one or more signals may not be included in the set of output data. For example, at times when insufficient bandwidth is available for sending multiple signals, the output data may include only one signal or only one set of representation data 622.

It will be appreciated that the processor unit 810 may be configured in different ways according to the invention. For example, turning to FIG. 9B, another functional block diagram incorporating a processor unit according to various embodiments of the invention is provided. In the embodiments of FIG. 9B sets of representation data 622 coming from the pre-coder unit 430 pass through the ACM unit 920 before they are multiplexed by the multiplexer unit 910. Three sets of representation data (622-1, 622-2, and 622-3) may pass to the ACM unit 920. The ACM unit 920 may then use three coding and modulation schemes (922-1, 922-2, and 922-3), one on each of the three sets of representation data (622-1, 622-2, and 622-3). The three coding and modulation schemes (922-1, 922-2, and 922-3) may generate three output signals, which are multiplexed by the multiplexer unit 910 to generate a set of output data 820 containing a single multiplexed signal. This signal may then be transmitted over the communication link 460.

Other configurations may also be possible according to the invention. In some embodiments, the ACM unit 920 may include a channel coding unit and a modulation unit. In one embodiment, each of the channel coding unit and the modulation unit may be independently controllable or may be configured to work in conjunction with one another. In another embodiment, the multiplexer unit 910 may multiplex multiple streams of data coming from the channel coding unit with different coding schemes and pass them as a single stream of data to the modulation unit.

Returning to FIG. 9A, in one embodiment, sets of representation data 622 are generated by the processor unit 810 using scalable pre-coding schemes. The sets of representation data 622 may then include a base layer and one or more enhancement layers. The layers may be multiplexed in the multiplexer unit 910 before being passed to the ACM unit 920. The ACM unit 920 may then use DVB-S2 to apply a QPSK ½ coding and modulation scheme to the multiplexed data, thereby generating a QPSK ½ signal for transmission over the communication link 460.

In some embodiments, the ACM unit 920 is further communicatively coupled to a profiler unit 930. The profiler unit 930 may be communicatively coupled with the communication link 460 and the pre-coder unit 430. The profiler unit 930 may also be configured to determine certain communication link profiles relating to the communication link 460. It will be appreciated that the profiler unit 930 may generate communication link profiles by detecting or receiving data intrinsic to and/or extrinsic to the communication link 460, by receiving information from other systems or components, or in any other useful way.

In one embodiment, the profiler unit 930 periodically or continuously determines signal-to-noise ratios (“SNRs”) relating to the communication link 460 for use as communication link profiles. For example, the profiler unit 930 may sample signals received at one end of the communication link 460 to determine the SNRs of the signals. Further, the SNRs may be recorded for statistical processing (e.g., to determine average SNRs or to determine SNR by signal type), for logging (e.g., to keep a record of SNRs at different times of day or in different link conditions), or for other reasons. It will be appreciated that the SNRs may be detected at either end of the communication link 460 (e.g., at either the network access unit end or the data terminal end) and by any effective method.

In another embodiment, the profiler unit 930 determines the bandwidth of the communication link 460 to generate a communication link profile. Similarly, the bandwidth of the communication link 460 may be provided to the profiler unit 930 manually or by another component, either before or when the communication link profile is generated. It will be appreciated that many other useful characteristics may be detected from the communication link 460 to generate communication link profiles, including, for example, throughput, hop count, path length, physical latency, bit error rate, power consumption, power availability, excess bandwidth, traffic congestion, etc.

In yet another embodiment, the profiler unit 930 determines an audience metric, which may be used as a communication link profile. There may be many ways to determine an audience metric. For example, the audience metric may be determined by detecting the number of subscribers receiving a signal, the number of subscribers playing back the signal (e.g., watching the video data), polling subscribers to determine the number of subscribers planning to playback the signal. In some embodiments, the signal may include multicast information (information transmitted to subscribers who have joined the multicast stream). In those embodiments, the audience metric may relate to the number or type of subscribers who have joined the multicast stream.

In still another embodiment, the profiler unit 930 may determine or receive a receiver capability, which may be used as a communication link profile. In some embodiments, a data terminal may include a receiver for receiving signals from the communication link 460. The receiver may have limited capabilities, due to limitations, for example, in a port or antenna, in a playback mechanism, in a decoding mechanism, etc. For example, a subscriber may be receiving video signals on a mobile phone. The phone may have a small screen with limited resolution, a small antenna with limited range, a small battery with limited power, etc.

In even another embodiment, the profiler unit 930 may determine or receive authorization to transmit signals over the communication link 460 in certain ways, which may be used as a communication link profile. In some embodiments, subscribers may have accounts with a service provider, which are associated with certain entitlement information. For example, a subscriber may be able to purchase a base package, which entitles the subscriber to receive and/or playback only base layer information generated by a scalable pre-coding scheme (e.g., a low-resolution video). Other subscribers may be able to purchase the additional entitlement to receive and/or playback enhanced layers (e.g., a high-definition video). In other embodiments, other parties may be at least partially responsible for the generation of the communication link profiles. For example, a backbone provider may allocate certain bandwidths to certain applications at certain times of the day.

It will be appreciated that the profiler unit 930 may further provide some or all of the functionality relating to predictive adaptation, as discussed above. Using the profiler unit 930 may allow the receipt, generation and/or use of predictive information, map data, etc. The predictive information may then be used to affect the hierarchical encoding of data for terminal-aware communications.

In some embodiments, the profiler unit 930 is communicatively coupled with either or both of the ACM unit 920 and the pre-coder unit 430. Thus, in certain embodiments, the profiler unit 930 may use communication link profiles to determine certain parameters of pre-coding schemes used by the pre-coder unit 430 (e.g., scaling parameters, data partitions, etc.), or to assign identifiers to appropriate coding and modulation schemes. In other embodiments, the profiler unit 930 may generate, modify, or otherwise influence the functionality of both the ACM unit 920 and the pre-coder unit 430 in other ways to best suit data to various communication link profiles.

In an embodiment where the profiler unit 930 generates communication link profiles using an audience metric, different audience metrics may be used in different ways. For example, the bandwidth required for a popular program may be permitted to increase at the expense of less popular programs. To this effect, the popular program may be encoded at a high bit rate, and sent using a very low order (reliable) modulation and coding scheme. Alternately, the least popular programs may be encoded at a low bit rate, and sent using a high order modulation and coding scheme. In a satellite communication system according to this embodiment, one result may include an improved balance between the overall fixed bandwidth of the satellite transponder and service quality and availability.

In another embodiment, the profiler unit 930 generates communication link profiles at least in part based on weather patterns. As the weather worsens, link conditions may also worsen, decreasing the reliability of data transfers over the communication link 460. To compensate for worsening conditions, the profiler unit 930 may direct the ACM unit 920 to increase transmission reliability by using higher order coding and modulation schemes (e.g., higher order modulation schemes, lower information density, etc.). The change in coding and modulation schemes may be implemented, for example, by assigning identifiers to higher order coding and modulation schemes in a table like the identifier data table 722 of FIG. 7. The new assignments in the table may then be used by the ACM unit 920 to generate the set of output data 820 for transmission.

In yet another embodiment, the profiler unit 930 generates communication link profiles at least in part based on notifications generated by a data terminal. As discussed above with reference to FIG. 5, embodiments of data terminals may be configured to provide notices on certain conditions. For example, a data terminal may be configured to store received and decoded sets of representation data 622 for later playback by a subscriber. The data terminal may provide notifications, for example, when certain sets of representation data 622 failed to be reliably received (e.g., and must be resent), when subscribers request or subscribe to certain sets of representation data 622, etc. In these and other cases, the profiler unit 930 may receive a notification and generate communication link profiles to respond to those notifications. For example, if a set of representation data 622 failed to be received, the set of representation data 622 may be retransmitted using a more reliable coding and modulation scheme.

In still another embodiment, the profiler unit 930 may generate communication link profiles based on a variety of different types of data. For example, the profiler unit 930 may receive a notification from a data terminal requesting retransmission of a set of representation data 622. The profiler unit 930 may poll the communication link 460 to determine its bandwidth, waiting to detect that excess bandwidth is available. When excess bandwidth is available on the communication link 460, the profiler unit 930 may direct the ACM unit 920 to retransmit the requested set of representation data 622 using a very reliable (but bandwidth inefficient) coding and modulation scheme.

FIG. 10A and FIG. 10B provide an exemplary embodiment illustrating adapting coding and modulation schemes to link conditions according to various embodiments of the invention. In FIG. 10A, three sets of representation data (622-1, 622-2, and 622-3) pass from a pre-coder unit 430 to an ACM unit 920. Based on information provided by the profiler unit 930, identifiers 710 have been assigned to coding and modulation schemes 705 in an identifier data store 720.

As illustrated, the first set of representation data 622-1 is associated with identifier “1” 710-1, which is further identified with a QPSK ¼ coding and modulation scheme 705-1. The second set of representation data 622-2 is associated with identifier “2” 710-2, which is further identified with a second coding and modulation scheme 705-2. The second coding and modulation scheme 705-2 represents the same order modulation scheme (i.e., QPSK) as the first coding and modulation scheme 705-1, but with higher information density (i.e., ⅗ provides fewer error correction bits per information bit than ¼). The third set of representation data 622-3 is associated with identifier “3” 710-3, which is further identified with a third coding and modulation scheme 705-3. The third coding and modulation scheme 705-3 represents a higher order modulation scheme than the first coding and modulation scheme 705-1 (i.e., 8PSK instead of QPSK), but with the same information density (i.e., ⅗). Thus, the first set of representation data 622-1 may be transmitted with the highest reliability, relative to the other sets of representation data (622-2 and 622-3).

FIG. 10B illustrates the same embodiment of the invention, illustratively adapted to worsening link conditions. Still, three sets of representation data (622-1, 622-2, and 622-3) pass from a pre-coder unit 430 to an ACM unit 920. Here, however, the profiler unit 930 has detected worsening link conditions (e.g., heavy rain). In response, identifiers 710 have been reassigned to more reliable coding and modulation schemes 705 in the identifier data store 720.

As illustrated, the first set of representation data 622-1 is still associated with identifier “1” 710-1, which is still further identified with a QPSK ¼ coding and modulation scheme 705-1. No change is made to these assignments, as the QPSK ¼ coding and modulation scheme is the most reliable option provided in the identifier data store 720. However, the second set of representation data 622-2 associated with identifier “2” 710-2 is now further associated with a new coding and modulation scheme 705-4 (QPSK ½). The new coding and modulation scheme 705-4 represents the same order modulation scheme (i.e., QPSK) as the second coding and modulation scheme 705-2 used in FIG. 10A, but with lower information density (i.e., ½ instead of ⅗). Further, the third set of representation data 622-3 is re-associated with identifier “2” 710-2, further associating the third set of representation data 622-3 with the same new coding and modulation scheme 705-4 as is associated with the second set of representation data 622-2. Now, the first set of representation data 622-1 may still be transmitted with the highest reliability, but the other sets of representation data (622-2 and 622-3) will also be more reliably transmitted.

The features of the various embodiments of FIGS. 3-10 may be implemented in a number of ways according to the invention. Further, the components and functionalities in those figures may be used to perform a number of different methods according to the invention. FIG. 11 provides a flow diagram describing methods of transmitting hierarchical data in a layered communication system according to various embodiments of the invention.

The method 1100 may begin by receiving a set of source data at block 1110. The set of source data may be any type of data, for example audio-visual data. The set of source data may be pre-coded at block 1120, using various pre-coding schemes. The pre-coding at block 1120 may generate sets of representation data at block 1130.

At block 1140, the sets of representation data generated at block 1130 may be associated with identifiers. In some embodiments, each identifier is associated with a coding and modulation scheme at block 1150. As such, each set of representation data may be associated to a coding and modulation scheme.

In some embodiments, a communication link profile is determined at block 1160. The communication link profile may relate to link conditions, receiver capabilities, subscriber entitlement, audience metrics, or any other useful characteristic of the communication environment in which the method 1100 is being implemented. In certain embodiments, assignments in either or both of blocks 1140 and 1150 may be dynamically adjusted to adapt to information from the communication link profile determined at block 11160.

At block 1170, ACM is performed on the sets of representation data using their associated coding and modulation schemes to generate one or more signals. In some embodiments, the signals may be multiplexed at block 1180 to generate a single signal for transmission. The signal or signals may then be transmitted over a communication link at block 1190.

FIG. 12 provides a flow diagram describing methods of receiving hierarchical data in a layered communication system according to various embodiments of the invention. The method 1200 may begin by receiving one or more signals at block 1210. The signals may contain coded and/or modulated sets of representation data from a set of source data. At block 1220, the signals may be decoded to recreate the sets of representation data, and to use the sets of representation data to playback a representation of the set of source data.

In some embodiments, multiple modes may be available for decoding the signals. At block 1230, a mode determination may be made. This mode determination may be based on any useful parameter, like signal quality of the received signals. In a first embodiment, a default mode is used at block 1240-1, resulting in a selection of “Mode 1” at block 1250-1. In a second embodiment, at block 1240-2, the received signal contains only a first set of representation data, or other sets of representation data cannot be reliably decoded (e.g., they are received with high bit error rates). In this second embodiment, “Mode 1” is also selected at block 1250-1. In a third embodiment, multiple sets of representation data are received at block 1240-3, allowing decoding for a high level playback of the set of source data. In this third embodiment, a second mode, “Mode 2,” is selected at block 1250-2. At block 1260, the data decoded in the various modes at blocks 1240 may be output for playback.

It should be noted that the methods, systems, and devices discussed above are intended merely to be examples. It must be stressed that various embodiments may omit, substitute, or add various procedures or components as appropriate. For instance, it should be appreciated that, in alternative embodiments, the methods may be performed in an order different from that described, and that various steps may be added, omitted, or combined. Also, features described with respect to certain embodiments may be combined in various other embodiments. Different aspects and elements of the embodiments may be combined in a similar manner. Also, it should be emphasized that technology evolves and, thus, many of the elements are exemplary in nature and should not be interpreted to limit the scope of the invention.

Specific details are given in the description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the embodiments.

Also, it is noted that the embodiments may be described as a process which is depicted as a flow diagram or block diagram. Although each may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be rearranged. A process may have additional steps not included in the figure.

Moreover, as disclosed herein, the term “memory” or “memory unit” may represent one or more devices for storing data, including read-only memory (“ROM”), random access memory (“RAM”), magnetic RAM, core memory, magnetic disk storage mediums, optical storage mediums, flash memory devices or other computer-readable mediums for storing information. The term “computer-readable medium” includes, but is not limited to, portable or fixed storage devices, optical storage devices, wireless channels, a sim card, other smart cards, and various other mediums capable of storing, containing, or carrying instructions or data.

Furthermore, embodiments may be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware, or microcode, the program code or code segments to perform the necessary tasks may be stored in a computer-readable medium such as a storage medium. Processors may perform the necessary tasks.

Having described several embodiments, it will be recognized by those of skill in the art that various modifications, alternative constructions, and equivalents may be used without departing from the spirit of the invention. For example, the above elements may merely be a component of a larger system, wherein other rules may take precedence over or otherwise modify the application of the invention. Also, a number of steps may be undertaken before, during, or after the above elements are considered. Accordingly, the above description should not be taken as limiting the scope of the invention. 

1. A predictive adaptive communications network, comprising: a designated data terminal, being one of a plurality of data terminals, adapted to receive a transmission over a communication link, and having: a current capability metric defining at least one of a data receiving capability of the designated data terminal, a data playback capability of the designated data terminal, or a data communication capability of the communication link; and a current position metric defining at least one of a current position of the designated data terminal, a current motion vector of the designated data terminal; and a network access unit, in communication with the plurality of data terminals and comprising: a source data receiver module adapted to receive source data; a terminal data receiver module, adapted to determine the current capability metric of the designated data terminal and the current position metric of the designated data terminal; a controller module, communicatively coupled with the terminal data receiver module, and adapted to generate a link condition prediction as a function of the current capability metric of the designated data terminal and the current position metric of the designated data terminal; a pre-coder module adapted to pre-code the source data using a plurality of pre-coding schemes to generate a plurality of sets of representation data, each set of representation data representing the set of source data; an adaptive coding and modulation module adapted to associate at least some of the sets of representation data with at least one of a plurality of coding and modulation schemes, wherein at least one of the pre-coding schemes or at least one of the coding and modulation schemes is determined as a function of the link condition prediction generated by the controller module; and a transceiver module, adapted to generate a transmission by applying at least one of the pre-coding schemes to the source data to generate at least one of the sets of representation data, and applying at least one of the coding and modulation schemes to the at least one of the sets of representation data.
 2. The network of claim 1, further comprising: a map generation module, communicatively coupled with the plurality of data terminals, and adapted to generate map data for at least some of the plurality of data terminals, the map data comprising a link condition and a positional condition associated with each of the respective data terminals.
 3. The network of claim 2, wherein the map data further comprises geospatial data relating to at least one of weather, traffic, terrain, or sources of potential communication interference.
 4. The network of claim 2, wherein the map data further comprises data relating to temporal changes in map data.
 5. The network of claim 2, wherein the map data further comprises data relating to geospatial changes in map data.
 6. The network of claim 2, wherein the terminal data receiver module is adapted to determine the current capability metric of the designated data terminal and the current position metric of the designated data terminal at least partially as a function of the map data.
 7. The network of claim 2, wherein the controller module is adapted to generate the link condition prediction at least partially as a function of the map data.
 8. The network of claim 2, wherein the network access unit comprises the map generation module.
 9. A predictive adaptive network access unit, comprising: a source data receiver module adapted to receive source data; a terminal data receiver module, adapted to determine a current capability metric of a designated data terminal and a current position metric of the designated data terminal; a controller module, communicatively coupled with the terminal data receiver module, and adapted to generate a link condition prediction as a function of the current capability metric of the designated data terminal and the current position metric of the designated data terminal; a pre-coder module adapted to pre-code the source data using at least one pre-coding scheme to generate at least one set of representation data, the at least one set of representation data comprising a hierarchical representation of the set of source data; and an adaptive coding and modulation module adapted to associate the at least one set of representation data with at least one of a coding and modulation scheme, wherein the at least one of the pre-coding schemes and/or the at least one coding and modulation scheme is determined as a function of the link condition prediction generated by the controller module.
 10. The network access unit of claim 9, further comprising a transceiver module, adapted to: generate a transmission by applying the at least one pre-coding scheme to the source data to generate the at least one set of representation data, and applying the at least one coding and modulation scheme to the at least one set of representation data; and communicate the transmission to the designated data terminal over a communication link associated with the designated data terminal.
 11. The network access unit of claim 9, further comprising: a map generation module, communicatively coupled with a network having a plurality of data terminals, and adapted to generate map data relating to at least one region of the network, wherein the designated data terminal is one of the plurality of data terminals.
 12. The network access unit of claim 11, further comprising: wherein the map data is generated as a function of geospatial data relating to the network.
 13. The network access unit of claim 12, wherein the geospatial data relates to at least one of weather, traffic, terrain, or sources of potential communication interference.
 14. The network access unit of claim 11, wherein the map data comprises a link condition and a positional condition associated with each of the plurality data terminals.
 15. The network access unit of claim 11, wherein the terminal data receiver module is adapted to determine the current capability metric of the designated data terminal and the current position metric of the designated data terminal at least partially as a function of the map data.
 16. The network access unit of claim 11, wherein the controller module is adapted to generate the link condition prediction at least partially as a function of the map data.
 17. The network access unit of claim 9, wherein the current capability metric defines at least one of a data receiving capability of the designated data terminal, a data playback capability of the designated data terminal, or a data communication capability of the communication link.
 18. The network access unit of claim 9, wherein the current position metric defines at least one of a current position of the designated data terminal, a current motion vector of the designated data terminal.
 19. The network access unit of claim 9, wherein the terminal data receiver module is adapted to determine at least one of the current capability metric or the current position metric as a function of data received from the designated data terminal.
 20. The network access unit of claim 9, wherein the at least one pre-coding scheme comprises at least one of a scalable pre-coding scheme or a data partitioning scheme.
 21. A method for providing predictive adaptive communication over a network, the method comprising: receiving source data representing content to be communicated with a designated data terminal over a network; determining a current capability metric of the designated data terminal; determining a current position metric of the designated data terminal; generating a link condition prediction as a function of at least one of the current capability metric of the designated data terminal or the current position metric of the designated data terminal; determining at least one pre-coding scheme for pre-coding the source data to generate at least one set of representation data, the at least one set of representation data comprising a hierarchical representation of the set of source data; determining at least one coding and modulation scheme, wherein at least one of the at least one pre-coding scheme or the at least one coding and modulation scheme is determined as a function of the link condition prediction; and generating a transmission by associating the at least one set of representation data with the at least one coding and modulation scheme.
 22. The method of claim 21, further comprising: communicating the transmission to the designated data terminal over a communication link associated with the designated data terminal.
 23. The method of claim 21, further comprising: generating map data relating to at least one region of a network having a plurality of data terminals, wherein the designated data terminal is one of the plurality of data terminals.
 24. The method of claim 23, wherein the map data is generated as a function of geospatial data relating to the network.
 25. The method of claim 23, wherein the map data comprises a link condition and a positional condition associated with each of the plurality data terminals.
 26. The method of claim 23, wherein at least one of current capability metric or the current position metric is determined as a function of the map data.
 27. The method of claim 23, wherein the link condition prediction is determined as a function of the map data.
 28. The method of claim 21, wherein at least one of the current capability metric or the current position metric is determined as a function of data received from the designated data terminal. 